Analysis

Descriptive statistics sample

Participants in first wave: 351
Participants that completed both wavves: 254
Additional “control group” partcipants: 72

percentage of overall sample that completed wave 1 and wave 2

divers Keine Angabe männlich weiblich
18-29 0 0 14 8
30-39 0 0 12 10
40-49 0 0 10 7
50-59 0 0 11 13
60-80 0 0 11 4

Political party identification

Media, climate change concern

Climate change concern

Cronbachs’s alpha of 0.95, skew of -0.99

By party

Media engagement

The items were phrased as: How did you inform yourself about the climate law and the vote in the past month

Cronbachs alpha of 0.89

Type of media used as information source

News media

Newspapers used as source of information

Correlations between predictor variables cc concern, rating of law and political orientation:

CAM Indicators

Did people change the valence of “Klimagesetz”?

t1 t2 wave2_control
-3 11 3 2
-2 2 5 1
-1 4 2 0
0 207 223 60
1 8 8 2
2 14 6 3
3 7 6 4

Macro indicators

## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

##                                          Mean   SD Median CoeffofVariation
## mean_valence_macro_t1                    0.11 0.94   0.11             8.61
## mean_valence_normed_macro_t1             0.06 0.38   0.00             6.60
## density_macro_t1                         0.27 0.09   0.25             0.33
## transitivity_macro_t1                    0.14 0.18   0.00             1.26
## centr_degree_macro_t1                    0.47 0.23   0.42             0.50
## centr_clo_macro_t1                       0.61 0.23   0.56             0.38
## centr_betw_macro_t1                      0.66 0.23   0.67             0.35
## centr_eigen_macro_t1                     0.63 0.10   0.65             0.16
## meanDistance_directed_macro_t1           2.11 0.41   2.06             0.20
## meanDistance_undirected_macro_t1         2.11 0.41   2.06             0.20
## diameter_weighted_undirected_macro_t1    3.54 1.23   4.00             0.35
## diameter_unweighted_undirected_macro_t1  3.54 1.23   4.00             0.35
## diameter_unweighted_directed_macro_t1    3.54 1.23   4.00             0.35
## num_nodes_macro_t1                       9.63 2.18   9.00             0.23
## num_nodes_pos_macro_t1                   3.75 2.35   4.00             0.63
## num_nodes_neg_macro_t1                   3.21 2.38   3.00             0.74
## num_nodes_neut_macro_t1                  1.67 1.75   1.00             1.04
## num_nodes_ambi_macro_t1                  1.00 1.31   1.00             1.31
## num_edges_macro_t1                      21.46 7.37  20.00             0.34
## num_edges_solid_macro_t1                21.46 7.37  20.00             0.34
## num_edges_dashed_macro_t1                0.00 0.00   0.00              NaN
## num_edges_invaliddashed_macro_t1         1.08 1.65   0.00             1.53
## meanWeightEdges_macro_t1                 1.00 0.00   1.00             0.00
## reciprocity_macro_t1                     1.00 0.00   1.00             0.00
## assortativity_valence_macro_t1          -0.21 0.30  -0.20            -1.46
## assortativityDegree_macro_t1            -0.52 0.28  -0.51            -0.54
##                                         Minimum Maximun Lower Quantile
## mean_valence_macro_t1                     -3.00    2.88          -3.00
## mean_valence_normed_macro_t1              -1.00    1.00          -1.00
## density_macro_t1                           0.08    0.64           0.08
## transitivity_macro_t1                      0.00    0.69           0.00
## centr_degree_macro_t1                      0.00    0.89           0.00
## centr_clo_macro_t1                         0.00    1.00           0.00
## centr_betw_macro_t1                        0.00    1.00           0.00
## centr_eigen_macro_t1                       0.00    0.79           0.00
## meanDistance_directed_macro_t1             1.36    3.67           1.36
## meanDistance_undirected_macro_t1           1.36    3.67           1.36
## diameter_weighted_undirected_macro_t1      2.00    8.00           2.00
## diameter_unweighted_undirected_macro_t1    2.00    8.00           2.00
## diameter_unweighted_directed_macro_t1      2.00    8.00           2.00
## num_nodes_macro_t1                         8.00   27.00           8.00
## num_nodes_pos_macro_t1                     0.00   22.00           0.00
## num_nodes_neg_macro_t1                     0.00   17.00           0.00
## num_nodes_neut_macro_t1                    0.00   10.00           0.00
## num_nodes_ambi_macro_t1                    0.00    8.00           0.00
## num_edges_macro_t1                        14.00   56.00          14.00
## num_edges_solid_macro_t1                  14.00   56.00          14.00
## num_edges_dashed_macro_t1                  0.00    0.00           0.00
## num_edges_invaliddashed_macro_t1           0.00    9.00           0.00
## meanWeightEdges_macro_t1                   1.00    1.00           1.00
## reciprocity_macro_t1                       1.00    1.00           1.00
## assortativity_valence_macro_t1            -1.00    0.59          -1.00
## assortativityDegree_macro_t1              -1.00    0.13          -1.00
##                                         Upper Quantile Skewness Kurtosis(-3)
## mean_valence_macro_t1                             2.88    -0.63         1.67
## mean_valence_normed_macro_t1                      1.00    -0.33         0.53
## density_macro_t1                                  0.64     1.37         2.49
## transitivity_macro_t1                             0.69     0.98        -0.22
## centr_degree_macro_t1                             0.89     0.33        -1.08
## centr_clo_macro_t1                                1.00     0.23        -1.00
## centr_betw_macro_t1                               1.00    -0.37        -0.46
## centr_eigen_macro_t1                              0.79    -1.52         4.74
## meanDistance_directed_macro_t1                    3.67     0.87         0.81
## meanDistance_undirected_macro_t1                  3.67     0.87         0.81
## diameter_weighted_undirected_macro_t1             8.00     0.58         0.09
## diameter_unweighted_undirected_macro_t1           8.00     0.58         0.09
## diameter_unweighted_directed_macro_t1             8.00     0.58         0.09
## num_nodes_macro_t1                               27.00     3.88        21.49
## num_nodes_pos_macro_t1                           22.00     2.15        14.10
## num_nodes_neg_macro_t1                           17.00     1.53         5.06
## num_nodes_neut_macro_t1                          10.00     2.28         6.17
## num_nodes_ambi_macro_t1                           8.00     2.42         8.78
## num_edges_macro_t1                               56.00     1.94         4.75
## num_edges_solid_macro_t1                         56.00     1.94         4.75
## num_edges_dashed_macro_t1                         0.00      NaN          NaN
## num_edges_invaliddashed_macro_t1                  9.00     1.94         3.85
## meanWeightEdges_macro_t1                          1.00      NaN          NaN
## reciprocity_macro_t1                              1.00      NaN          NaN
## assortativity_valence_macro_t1                    0.59    -0.06        -0.15
## assortativityDegree_macro_t1                      0.13    -0.01        -0.69
##                                         KS-Test
## mean_valence_macro_t1                      0.01
## mean_valence_normed_macro_t1               0.00
## density_macro_t1                           0.00
## transitivity_macro_t1                      0.00
## centr_degree_macro_t1                      0.01
## centr_clo_macro_t1                         0.00
## centr_betw_macro_t1                        0.17
## centr_eigen_macro_t1                       0.01
## meanDistance_directed_macro_t1             0.02
## meanDistance_undirected_macro_t1           0.02
## diameter_weighted_undirected_macro_t1      0.00
## diameter_unweighted_undirected_macro_t1    0.00
## diameter_unweighted_directed_macro_t1      0.00
## num_nodes_macro_t1                         0.00
## num_nodes_pos_macro_t1                     0.00
## num_nodes_neg_macro_t1                     0.00
## num_nodes_neut_macro_t1                    0.00
## num_nodes_ambi_macro_t1                    0.00
## num_edges_macro_t1                         0.00
## num_edges_solid_macro_t1                   0.00
## num_edges_dashed_macro_t1                  0.00
## num_edges_invaliddashed_macro_t1           0.00
## meanWeightEdges_macro_t1                   0.00
## reciprocity_macro_t1                       0.00
## assortativity_valence_macro_t1             0.98
## assortativityDegree_macro_t1               0.21

Micro indicators

## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

##                                 Mean   SD Median CoeffofVariation Minimum
## degreetot_micro_Klimagesetz_t1 10.45 4.16     10             0.40     2.0
## valence_micro_Klimagesetz_t1    0.06 0.97      0            17.32    -3.0
## centr_clo_micro_Klimagesetz_t1  0.96 0.10      1             0.10     0.5
##                                Maximun Lower Quantile Upper Quantile Skewness
## degreetot_micro_Klimagesetz_t1      22            2.0             22     0.10
## valence_micro_Klimagesetz_t1         3           -3.0              3    -0.24
## centr_clo_micro_Klimagesetz_t1       1            0.5              1    -2.88
##                                Kurtosis(-3) KS-Test
## degreetot_micro_Klimagesetz_t1        -0.81       0
## valence_micro_Klimagesetz_t1           4.93       0
## centr_clo_micro_Klimagesetz_t1         8.04       0
For difference values

Macro indicators

## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

##                                          Mean   SD Median CoeffofVariation
## mean_valence_macro_t1                    0.00 0.80   0.00          -267.78
## mean_valence_normed_macro_t1             0.00 0.35   0.00            85.89
## density_macro_t1                        -0.01 0.11   0.00           -12.57
## transitivity_macro_t1                   -0.01 0.21   0.00           -19.07
## centr_degree_macro_t1                   -0.01 0.26   0.00           -21.79
## centr_clo_macro_t1                      -0.01 0.27   0.00           -48.97
## centr_betw_macro_t1                      0.00 0.28   0.00           363.15
## centr_eigen_macro_t1                     0.01 0.15   0.00            10.01
## meanDistance_directed_macro_t1          -0.01 0.51   0.00           -36.60
## meanDistance_undirected_macro_t1        -0.01 0.51   0.00           -36.60
## diameter_weighted_undirected_macro_t1   -0.03 1.59   0.00           -51.00
## diameter_unweighted_undirected_macro_t1  0.04 1.45   0.00            33.76
## diameter_unweighted_directed_macro_t1    0.04 1.45   0.00            33.76
## num_nodes_macro_t1                      -0.08 2.53   0.00           -32.35
## num_nodes_pos_macro_t1                   0.04 2.57   0.00            59.71
## num_nodes_neg_macro_t1                   0.12 2.20   0.00            18.18
## num_nodes_neut_macro_t1                 -0.48 1.91   0.00            -3.97
## num_nodes_ambi_macro_t1                  0.24 1.47   0.00             6.18
## num_edges_macro_t1                      -0.73 8.04   0.00           -11.07
## num_edges_solid_macro_t1                -0.73 8.04   0.00           -11.07
## num_edges_dashed_macro_t1                0.00 0.00   0.00              NaN
## num_edges_invaliddashed_macro_t1         0.04 1.91   0.00            44.46
## meanWeightEdges_macro_t1                -0.02 0.10   0.00            -5.57
## reciprocity_macro_t1                     0.00 0.00   0.00              NaN
## assortativity_valence_macro_t1           0.03 0.38   0.06            11.03
## assortativityDegree_macro_t1             0.04 0.32   0.01             7.22
## mean_valence_macro_t2                    0.12 1.01   0.09             8.72
## mean_valence_normed_macro_t2             0.05 0.37   0.00             6.90
## density_macro_t2                         0.28 0.11   0.25             0.41
## transitivity_macro_t2                    0.15 0.20   0.00             1.28
## centr_degree_macro_t2                    0.48 0.26   0.45             0.53
## centr_clo_macro_t2                       0.62 0.26   0.59             0.42
## centr_betw_macro_t2                      0.66 0.26   0.68             0.39
## centr_eigen_macro_t2                     0.62 0.13   0.65             0.22
## meanDistance_directed_macro_t2           2.12 0.53   1.96             0.25
## meanDistance_undirected_macro_t2         2.12 0.53   1.96             0.25
## diameter_weighted_undirected_macro_t2    3.58 1.51   3.00             0.42
## diameter_unweighted_undirected_macro_t2  3.50 1.38   3.00             0.39
## diameter_unweighted_directed_macro_t2    3.50 1.38   3.00             0.39
## num_nodes_macro_t2                       9.70 2.49   9.00             0.26
## num_nodes_pos_macro_t2                   3.70 2.52   4.00             0.68
## num_nodes_neg_macro_t2                   3.08 2.12   3.00             0.69
## num_nodes_neut_macro_t2                  2.16 2.28   1.00             1.06
## num_nodes_ambi_macro_t2                  0.77 1.17   0.00             1.53
## num_edges_macro_t2                      22.16 8.30  20.00             0.37
## num_edges_solid_macro_t2                22.16 8.30  20.00             0.37
## num_edges_dashed_macro_t2                0.00 0.00   0.00              NaN
## num_edges_invaliddashed_macro_t2         1.03 1.80   0.00             1.74
## meanWeightEdges_macro_t2                 1.02 0.10   1.00             0.09
## reciprocity_macro_t2                     1.00 0.00   1.00             0.00
## assortativity_valence_macro_t2          -0.24 0.31  -0.22            -1.31
## assortativityDegree_macro_t2            -0.56 0.29  -0.56            -0.51
##                                         Minimum Maximun Lower Quantile
## mean_valence_macro_t1                     -3.36    3.07          -3.36
## mean_valence_normed_macro_t1              -1.77    1.14          -1.77
## density_macro_t1                          -0.76    0.31          -0.76
## transitivity_macro_t1                     -0.96    0.60          -0.96
## centr_degree_macro_t1                     -0.88    0.73          -0.88
## centr_clo_macro_t1                        -1.00    0.78          -1.00
## centr_betw_macro_t1                       -1.00    0.80          -1.00
## centr_eigen_macro_t1                      -0.74    0.60          -0.74
## meanDistance_directed_macro_t1            -3.08    1.51          -3.08
## meanDistance_undirected_macro_t1          -3.08    1.51          -3.08
## diameter_weighted_undirected_macro_t1     -8.00    5.00          -8.00
## diameter_unweighted_undirected_macro_t1   -5.00    5.00          -5.00
## diameter_unweighted_directed_macro_t1     -5.00    5.00          -5.00
## num_nodes_macro_t1                       -15.00   10.00         -15.00
## num_nodes_pos_macro_t1                   -12.00   10.00         -12.00
## num_nodes_neg_macro_t1                    -6.00   17.00          -6.00
## num_nodes_neut_macro_t1                  -11.00    5.00         -11.00
## num_nodes_ambi_macro_t1                   -7.00    8.00          -7.00
## num_edges_macro_t1                       -32.00   24.00         -32.00
## num_edges_solid_macro_t1                 -32.00   24.00         -32.00
## num_edges_dashed_macro_t1                  0.00    0.00           0.00
## num_edges_invaliddashed_macro_t1          -7.00    7.00          -7.00
## meanWeightEdges_macro_t1                  -1.00    0.00          -1.00
## reciprocity_macro_t1                       0.00    0.00           0.00
## assortativity_valence_macro_t1            -1.00    0.97          -1.00
## assortativityDegree_macro_t1              -1.12    1.02          -1.12
## mean_valence_macro_t2                     -2.73    3.00          -2.73
## mean_valence_normed_macro_t2              -0.91    1.00          -0.91
## density_macro_t2                           0.08    0.96           0.08
## transitivity_macro_t2                      0.00    0.96           0.00
## centr_degree_macro_t2                      0.03    0.89           0.03
## centr_clo_macro_t2                         0.04    1.00           0.04
## centr_betw_macro_t2                        0.00    1.00           0.00
## centr_eigen_macro_t2                       0.04    0.81           0.04
## meanDistance_directed_macro_t2             1.04    4.83           1.04
## meanDistance_undirected_macro_t2           1.04    4.83           1.04
## diameter_weighted_undirected_macro_t2      2.00   10.00           2.00
## diameter_unweighted_undirected_macro_t2    2.00   10.00           2.00
## diameter_unweighted_directed_macro_t2      2.00   10.00           2.00
## num_nodes_macro_t2                         8.00   27.00           8.00
## num_nodes_pos_macro_t2                     0.00   18.00           0.00
## num_nodes_neg_macro_t2                     0.00   10.00           0.00
## num_nodes_neut_macro_t2                    0.00   14.00           0.00
## num_nodes_ambi_macro_t2                    0.00    7.00           0.00
## num_edges_macro_t2                        14.00   56.00          14.00
## num_edges_solid_macro_t2                  14.00   56.00          14.00
## num_edges_dashed_macro_t2                  0.00    0.00           0.00
## num_edges_invaliddashed_macro_t2           0.00   10.00           0.00
## meanWeightEdges_macro_t2                   1.00    2.00           1.00
## reciprocity_macro_t2                       1.00    1.00           1.00
## assortativity_valence_macro_t2            -1.00    0.71          -1.00
## assortativityDegree_macro_t2              -1.00    0.41          -1.00
##                                         Upper Quantile Skewness Kurtosis(-3)
## mean_valence_macro_t1                             3.07    -0.29         2.10
## mean_valence_normed_macro_t1                      1.14    -0.42         2.48
## density_macro_t1                                  0.31    -1.74         8.76
## transitivity_macro_t1                             0.60    -0.64         2.29
## centr_degree_macro_t1                             0.73    -0.35         0.80
## centr_clo_macro_t1                                0.78    -0.32         0.93
## centr_betw_macro_t1                               0.80    -0.13         0.88
## centr_eigen_macro_t1                              0.60     0.19         3.43
## meanDistance_directed_macro_t1                    1.51    -1.26         7.38
## meanDistance_undirected_macro_t1                  1.51    -1.26         7.38
## diameter_weighted_undirected_macro_t1             5.00    -0.71         3.28
## diameter_unweighted_undirected_macro_t1           5.00    -0.07         1.20
## diameter_unweighted_directed_macro_t1             5.00    -0.07         1.20
## num_nodes_macro_t1                               10.00    -1.04        10.01
## num_nodes_pos_macro_t1                           10.00    -0.09         3.58
## num_nodes_neg_macro_t1                           17.00     2.02        13.56
## num_nodes_neut_macro_t1                           5.00    -1.48         5.69
## num_nodes_ambi_macro_t1                           8.00     0.64         7.80
## num_edges_macro_t1                               24.00    -0.78         3.12
## num_edges_solid_macro_t1                         24.00    -0.78         3.12
## num_edges_dashed_macro_t1                         0.00      NaN          NaN
## num_edges_invaliddashed_macro_t1                  7.00    -0.01         3.80
## meanWeightEdges_macro_t1                          0.00    -7.20        58.10
## reciprocity_macro_t1                              0.00      NaN          NaN
## assortativity_valence_macro_t1                    0.97    -0.14        -0.24
## assortativityDegree_macro_t1                      1.02    -0.15         1.30
## mean_valence_macro_t2                             3.00    -0.41         1.24
## mean_valence_normed_macro_t2                      1.00    -0.27         0.69
## density_macro_t2                                  0.96     2.14         7.29
## transitivity_macro_t2                             0.96     1.18         0.80
## centr_degree_macro_t2                             0.89     0.22        -1.29
## centr_clo_macro_t2                                1.00     0.10        -1.14
## centr_betw_macro_t2                               1.00    -0.44        -0.62
## centr_eigen_macro_t2                              0.81    -1.38         1.75
## meanDistance_directed_macro_t2                    4.83     1.44         3.31
## meanDistance_undirected_macro_t2                  4.83     1.44         3.31
## diameter_weighted_undirected_macro_t2            10.00     1.20         1.97
## diameter_unweighted_undirected_macro_t2          10.00     0.97         1.40
## diameter_unweighted_directed_macro_t2            10.00     0.97         1.40
## num_nodes_macro_t2                               27.00     3.90        19.62
## num_nodes_pos_macro_t2                           18.00     1.24         4.36
## num_nodes_neg_macro_t2                           10.00     0.67         0.27
## num_nodes_neut_macro_t2                          14.00     2.33         5.70
## num_nodes_ambi_macro_t2                           7.00     2.13         5.65
## num_edges_macro_t2                               56.00     1.69         3.12
## num_edges_solid_macro_t2                         56.00     1.69         3.12
## num_edges_dashed_macro_t2                         0.00      NaN          NaN
## num_edges_invaliddashed_macro_t2                 10.00     2.34         5.87
## meanWeightEdges_macro_t2                          2.00     7.20        58.10
## reciprocity_macro_t2                              1.00      NaN          NaN
## assortativity_valence_macro_t2                    0.71     0.00        -0.24
## assortativityDegree_macro_t2                      0.41     0.22        -0.33
##                                         KS-Test
## mean_valence_macro_t1                      0.16
## mean_valence_normed_macro_t1               0.11
## density_macro_t1                           0.00
## transitivity_macro_t1                      0.00
## centr_degree_macro_t1                      0.00
## centr_clo_macro_t1                         0.01
## centr_betw_macro_t1                        0.14
## centr_eigen_macro_t1                       0.04
## meanDistance_directed_macro_t1             0.05
## meanDistance_undirected_macro_t1           0.05
## diameter_weighted_undirected_macro_t1      0.00
## diameter_unweighted_undirected_macro_t1    0.00
## diameter_unweighted_directed_macro_t1      0.00
## num_nodes_macro_t1                         0.00
## num_nodes_pos_macro_t1                     0.00
## num_nodes_neg_macro_t1                     0.00
## num_nodes_neut_macro_t1                    0.00
## num_nodes_ambi_macro_t1                    0.00
## num_edges_macro_t1                         0.00
## num_edges_solid_macro_t1                   0.00
## num_edges_dashed_macro_t1                  0.00
## num_edges_invaliddashed_macro_t1           0.00
## meanWeightEdges_macro_t1                   0.00
## reciprocity_macro_t1                       0.00
## assortativity_valence_macro_t1             0.94
## assortativityDegree_macro_t1               0.35
## mean_valence_macro_t2                      0.01
## mean_valence_normed_macro_t2               0.00
## density_macro_t2                           0.00
## transitivity_macro_t2                      0.00
## centr_degree_macro_t2                      0.01
## centr_clo_macro_t2                         0.01
## centr_betw_macro_t2                        0.03
## centr_eigen_macro_t2                       0.00
## meanDistance_directed_macro_t2             0.00
## meanDistance_undirected_macro_t2           0.00
## diameter_weighted_undirected_macro_t2      0.00
## diameter_unweighted_undirected_macro_t2    0.00
## diameter_unweighted_directed_macro_t2      0.00
## num_nodes_macro_t2                         0.00
## num_nodes_pos_macro_t2                     0.00
## num_nodes_neg_macro_t2                     0.00
## num_nodes_neut_macro_t2                    0.00
## num_nodes_ambi_macro_t2                    0.00
## num_edges_macro_t2                         0.00
## num_edges_solid_macro_t2                   0.00
## num_edges_dashed_macro_t2                  0.00
## num_edges_invaliddashed_macro_t2           0.00
## meanWeightEdges_macro_t2                   0.00
## reciprocity_macro_t2                       0.00
## assortativity_valence_macro_t2             0.84
## assortativityDegree_macro_t2               0.03

Micro indicators

## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

##                                 Mean   SD Median CoeffofVariation Minimum
## degreetot_micro_Klimagesetz_t1 -0.66 4.79      0            -7.21  -20.00
## valence_micro_Klimagesetz_t1    0.00 1.00      0           248.99   -6.00
## centr_clo_micro_Klimagesetz_t1  0.00 0.12      0           -25.48   -0.50
## degreetot_micro_Klimagesetz_t2 11.13 4.35     12             0.39    2.00
## valence_micro_Klimagesetz_t2    0.07 0.73      0            10.85   -3.00
## centr_clo_micro_Klimagesetz_t2  0.97 0.09      1             0.09    0.48
##                                Maximun Lower Quantile Upper Quantile Skewness
## degreetot_micro_Klimagesetz_t1   14.00         -20.00          14.00    -0.35
## valence_micro_Klimagesetz_t1      3.00          -6.00           3.00    -0.81
## centr_clo_micro_Klimagesetz_t1    0.52          -0.50           0.52    -0.12
## degreetot_micro_Klimagesetz_t2   24.00           2.00          24.00    -0.15
## valence_micro_Klimagesetz_t2      3.00          -3.00           3.00     0.70
## centr_clo_micro_Klimagesetz_t2    1.00           0.48           1.00    -3.35
##                                Kurtosis(-3) KS-Test
## degreetot_micro_Klimagesetz_t1         0.93       0
## valence_micro_Klimagesetz_t1           7.91       0
## centr_clo_micro_Klimagesetz_t1         5.39       0
## degreetot_micro_Klimagesetz_t2        -0.76       0
## valence_micro_Klimagesetz_t2           9.61       0
## centr_clo_micro_Klimagesetz_t2        11.32       0

inferential statistics

Hypothesis 1

Emotional properties

H1

We expect to find differences in emotional properties of mental models of [those intending to vote yes versus no on the upcoming climate protection law]. More specifically, we assume that valence of yes-intention voters will be more positive and valence of no-intention voters will be more negative.

wave 1

we will perform linear regressions with the indicated mental model network indicators as DV and dummy coded group differences as IV (no/yes-intention, high/low climate concern, left/right political orientation). In the case of the latter two, we may also use a continuous DV to assess correlation with network properties. We will control for socio-demographic variables (gender, age, education).

With mean valence macro

Intended vote

Supported

  mean_valence_macro_t1
Predictors Estimates CI p
(Intercept) -0.62 -1.04 – -0.21 0.003
intendedVote 0.75 0.51 – 0.98 <0.001
age 0.01 -0.00 – 0.01 0.161
gender [weiblich] 0.05 -0.17 – 0.27 0.659
education [linear] -0.22 -0.41 – -0.03 0.024
education [quadratic] 0.08 -0.11 – 0.28 0.411
Observations 254
R2 / R2 adjusted 0.154 / 0.137
  mean_valence_macro_t1
Predictors Estimates CI p
(Intercept) -1.32 -1.77 – -0.87 <0.001
ratingLaw 0.22 0.17 – 0.27 <0.001
age 0.01 -0.00 – 0.01 0.076
gender [weiblich] 0.04 -0.17 – 0.24 0.729
education [linear] -0.27 -0.45 – -0.09 0.004
education [quadratic] 0.07 -0.11 – 0.25 0.436
Observations 254
R2 / R2 adjusted 0.257 / 0.243

Climate change concern

Supported

  mean_valence_macro_t1
Predictors Estimates CI p
(Intercept) -1.30 -1.82 – -0.77 <0.001
climate concern 0.29 0.20 – 0.37 <0.001
age 0.00 -0.01 – 0.01 0.617
gender [weiblich] 0.04 -0.18 – 0.26 0.732
education [linear] -0.22 -0.41 – -0.03 0.022
education [quadratic] 0.07 -0.12 – 0.27 0.461
Observations 254
R2 / R2 adjusted 0.172 / 0.155

Political orientation

Supported (but when excluding climate concern and vote no longer)

  mean_valence_macro_t1
Predictors Estimates CI p
(Intercept) 0.56 0.08 – 1.04 0.023
politicalOrientation -0.10 -0.16 – -0.04 0.001
age 0.00 -0.01 – 0.01 0.608
gender [weiblich] 0.03 -0.21 – 0.26 0.831
education [linear] -0.22 -0.42 – -0.02 0.033
education [quadratic] 0.14 -0.07 – 0.35 0.180
Observations 254
R2 / R2 adjusted 0.059 / 0.040

All three

  mean_valence_macro_t1
Predictors Estimates CI p
(Intercept) -1.23 -1.94 – -0.52 0.001
politicalOrientation -0.01 -0.07 – 0.06 0.819
intendedVote 0.44 0.16 – 0.72 0.002
climate concern 0.20 0.09 – 0.30 <0.001
age 0.00 -0.00 – 0.01 0.259
gender [weiblich] 0.04 -0.18 – 0.25 0.742
education [linear] -0.23 -0.42 – -0.05 0.015
education [quadratic] 0.07 -0.12 – 0.26 0.496
Observations 254
R2 / R2 adjusted 0.206 / 0.183
  mean_valence_macro_t1
Predictors Estimates CI p
(Intercept) -1.61 -2.31 – -0.91 <0.001
politicalOrientation 0.01 -0.05 – 0.07 0.674
ratingLaw 0.19 0.12 – 0.26 <0.001
climate concern 0.09 -0.02 – 0.20 0.099
age 0.01 -0.00 – 0.01 0.112
gender [weiblich] 0.04 -0.17 – 0.25 0.723
education [linear] -0.26 -0.44 – -0.08 0.004
education [quadratic] 0.06 -0.12 – 0.24 0.509
Observations 254
R2 / R2 adjusted 0.266 / 0.245

wave 2

No major differences to wave 1 results

Intended vote & rating of law

Supported

  mean_valence_macro_t2
Predictors Estimates CI p
(Intercept) -0.80 -1.22 – -0.37 <0.001
intendedVote 0.95 0.71 – 1.19 <0.001
age 0.01 -0.00 – 0.01 0.123
gender [weiblich] 0.12 -0.11 – 0.35 0.324
education [linear] -0.13 -0.32 – 0.07 0.207
education [quadratic] 0.12 -0.08 – 0.32 0.241
Observations 254
R2 / R2 adjusted 0.214 / 0.198
  mean_valence_macro_t2
Predictors Estimates CI p
(Intercept) -1.59 -2.03 – -1.16 <0.001
ratingLaw 0.26 0.22 – 0.31 <0.001
age 0.01 -0.00 – 0.01 0.066
gender [weiblich] 0.11 -0.10 – 0.32 0.308
education [linear] -0.12 -0.30 – 0.06 0.197
education [quadratic] 0.10 -0.09 – 0.28 0.308
Observations 254
R2 / R2 adjusted 0.352 / 0.339

Climate change concern

  mean_valence_macro_t2
Predictors Estimates CI p
(Intercept) -1.49 -2.06 – -0.93 <0.001
climate concern 0.32 0.23 – 0.41 <0.001
age 0.00 -0.01 – 0.01 0.573
gender [weiblich] 0.07 -0.16 – 0.31 0.547
education [linear] -0.14 -0.34 – 0.06 0.169
education [quadratic] 0.11 -0.09 – 0.32 0.276
Observations 254
R2 / R2 adjusted 0.183 / 0.167

Political orientation

  mean_valence_macro_t2
Predictors Estimates CI p
(Intercept) 0.71 0.20 – 1.22 0.007
politicalOrientation -0.14 -0.20 – -0.07 <0.001
age 0.00 -0.01 – 0.01 0.528
gender [weiblich] 0.05 -0.20 – 0.30 0.697
education [linear] -0.15 -0.36 – 0.07 0.182
education [quadratic] 0.20 -0.02 – 0.41 0.080
Observations 254
R2 / R2 adjusted 0.079 / 0.060

specification under the curve analysis emotional properties

## Scale for fill is already present.
## Adding another scale for fill, which will replace the existing scale.

Standardized

## Scale for fill is already present.
## Adding another scale for fill, which will replace the existing scale.

Standardized climate concern

FALSE Scale for fill is already present.
FALSE Adding another scale for fill, which will replace the existing scale.

Hypothesis 2

Latent properties

We will explore differences in latent properties of mental models of [those intending to vote yes versus no on the upcoming climate protection law].

Rating of law and climate change concern
Density indicator
Both are close to significance but not quite

  density_macro_t1
Predictors Estimates CI p
(Intercept) 0.27 0.26 – 0.29 <0.001
climate concern 0.01 -0.00 – 0.02 0.074
age 0.01 0.00 – 0.02 0.028
gender [weiblich] -0.01 -0.03 – 0.01 0.360
education [linear] 0.03 0.01 – 0.05 0.005
education [quadratic] 0.00 -0.02 – 0.02 0.726
Observations 254
R2 / R2 adjusted 0.071 / 0.053
  density_macro_t1
Predictors Estimates CI p
(Intercept) 0.27 0.26 – 0.29 <0.001
ratingLaw 0.01 -0.00 – 0.02 0.093
age 0.01 0.00 – 0.02 0.017
gender [weiblich] -0.01 -0.03 – 0.01 0.366
education [linear] 0.03 0.01 – 0.05 0.006
education [quadratic] 0.00 -0.02 – 0.02 0.702
Observations 254
R2 / R2 adjusted 0.070 / 0.051

Rating of law and climate change concern

Number of nodes indicator
Climate concern close ~ approaching significance
  num_nodes_macro_t1
Predictors Estimates CI p
(Intercept) 9.69 9.34 – 10.05 <0.001
climate concern -0.20 -0.47 – 0.07 0.150
age -0.31 -0.59 – -0.04 0.024
gender [weiblich] -0.06 -0.61 – 0.49 0.828
education [linear] -0.40 -0.87 – 0.07 0.097
education [quadratic] 0.13 -0.35 – 0.61 0.602
Observations 254
R2 / R2 adjusted 0.039 / 0.019
  num_nodes_macro_t1
Predictors Estimates CI p
(Intercept) 9.70 9.34 – 10.06 <0.001
ratingLaw -0.02 -0.30 – 0.25 0.880
age -0.31 -0.59 – -0.03 0.028
gender [weiblich] -0.07 -0.62 – 0.48 0.798
education [linear] -0.41 -0.89 – 0.06 0.088
education [quadratic] 0.10 -0.38 – 0.59 0.671
Observations 254
R2 / R2 adjusted 0.031 / 0.011

specification under the curve analysis latent properties

Rating of law

FALSE Scale for fill is already present.
FALSE Adding another scale for fill, which will replace the existing scale.

Standardized rating of law

FALSE Scale for fill is already present.
FALSE Adding another scale for fill, which will replace the existing scale.

With climate change concern as predictor

## Scale for fill is already present.
## Adding another scale for fill, which will replace the existing scale.

Hypothesis 3 content

Hypothesis 4

We expect that evaluation of the law will be positively correlated with the emotional properties of mental models. Such that a more positive evaluation of the law will be associated with more positive valence.

Supported
  mean_valence_macro_t1
Predictors Estimates CI p
(Intercept) 0.01 -0.13 – 0.16 0.877
ratingLaw 0.50 0.39 – 0.61 <0.001
age 0.10 -0.01 – 0.21 0.076
gender [weiblich] 0.04 -0.18 – 0.26 0.729
education [linear] -0.28 -0.48 – -0.09 0.004
education [quadratic] 0.08 -0.12 – 0.27 0.436
Observations 254
R2 / R2 adjusted 0.257 / 0.243

FALSE `geom_smooth()` using method = 'loess' and formula = 'y ~ x'

Longitudinal

Hypothesis 5

We expect to find temporal differences in latent properties of mental models from wave 2 to wave 1. Such that the complexity of mental models will increase from wave 1 to wave 2.

Not supported

  num_nodes_macro
Predictors Estimates CI p
(Intercept) 9.95 8.84 – 11.06 <0.001
wave [t2] 0.08 -0.23 – 0.39 0.612
media engagement rel 0.02 -0.23 – 0.27 0.888
ratingLaw 0.08 -0.02 – 0.19 0.125
age -0.02 -0.04 – -0.00 0.017
gender [weiblich] -0.29 -0.78 – 0.20 0.247
education [Hochschulreife
/ Matur]
0.24 -0.33 – 0.82 0.405
education [Obligatorische
Schule]
0.59 -0.02 – 1.20 0.058
Random Effects
σ2 3.20
τ00 participantID 2.20
ICC 0.41
N participantID 254
Observations 508
Marginal R2 / Conditional R2 0.036 / 0.430
  density_macro
Predictors Estimates CI p
(Intercept) 0.23 0.18 – 0.27 <0.001
wave [t2] 0.01 -0.01 – 0.02 0.232
media engagement rel 0.01 -0.00 – 0.02 0.168
ratingLaw 0.00 -0.00 – 0.01 0.442
age 0.00 0.00 – 0.00 0.006
gender [weiblich] 0.01 -0.02 – 0.03 0.602
education [Hochschulreife
/ Matur]
-0.01 -0.04 – 0.01 0.395
education [Obligatorische
Schule]
-0.03 -0.06 – -0.00 0.029
Random Effects
σ2 0.01
τ00 participantID 0.00
ICC 0.37
N participantID 254
Observations 508
Marginal R2 / Conditional R2 0.042 / 0.393
  density_macro
Predictors Estimates CI p
(Intercept) 0.24 0.20 – 0.27 <0.001
wave [t2] 0.01 -0.01 – 0.02 0.225
media engagement rel 0.01 -0.00 – 0.02 0.179
climate concern rel 0.01 -0.00 – 0.02 0.230
age 0.00 0.00 – 0.00 0.007
gender [weiblich] 0.01 -0.02 – 0.03 0.624
education [Hochschulreife
/ Matur]
-0.01 -0.03 – 0.01 0.422
education [Obligatorische
Schule]
-0.03 -0.06 – -0.00 0.030
Random Effects
σ2 0.01
τ00 participantID 0.00
ICC 0.37
N participantID 254
Observations 508
Marginal R2 / Conditional R2 0.044 / 0.394

H5a: This effect may be moderated by engagement with the topic. Such that those that spend more time researching or discussing the topic show an even higher increase in complexity of mental models.

Not supported

  density_macro
Predictors Estimates CI p
(Intercept) 0.24 0.20 – 0.27 <0.001
wave [t2] 0.01 -0.01 – 0.02 0.226
media engagement rel 0.01 -0.00 – 0.02 0.159
climate concern rel 0.01 -0.00 – 0.02 0.230
age 0.00 0.00 – 0.00 0.007
gender [weiblich] 0.01 -0.02 – 0.03 0.624
education [Hochschulreife
/ Matur]
-0.01 -0.03 – 0.01 0.422
education [Obligatorische
Schule]
-0.03 -0.06 – -0.00 0.030
wave [t2] × media
engagement rel
-0.00 -0.02 – 0.01 0.603
Random Effects
σ2 0.01
τ00 participantID 0.00
ICC 0.36
N participantID 254
Observations 508
Marginal R2 / Conditional R2 0.044 / 0.393

Specification curve analysis longitdunal

FALSE Scale for fill is already present.
FALSE Adding another scale for fill, which will replace the existing scale.

Hypothesis 6

H6: We expect temporal changes such that emotional properties will become more extreme over time (higher or lower valence). We expect an interaction effect as a function of [intended vote]. Such that [yes (no) intention-voters] will show an increase (decrease) in positive valence.

Not supported (p=.145)

  mean_valence_macro
Predictors Estimates CI p
(Intercept) -0.35 -0.74 – 0.05 0.087
wave [t2] -0.09 -0.27 – 0.09 0.315
intendedVote [1] 0.27 0.04 – 0.49 0.020
climate concern rel 0.29 0.18 – 0.40 <0.001
media engagement rel 0.03 -0.07 – 0.13 0.516
age 0.00 -0.00 – 0.01 0.246
gender [weiblich] 0.06 -0.13 – 0.26 0.522
education [Hochschulreife
/ Matur]
0.03 -0.20 – 0.25 0.829
education [Obligatorische
Schule]
0.28 0.03 – 0.52 0.027
wave [t2] × intendedVote
[1]
0.17 -0.06 – 0.39 0.145
Random Effects
σ2 0.32
τ00 participantID 0.44
ICC 0.58
N participantID 254
Observations 508
Marginal R2 / Conditional R2 0.198 / 0.659

Exploratory: Media engagement by intended vote
To be discussed: The media engagment item was phrased as: How did you inform yourself about the climate law and the vote in the past month this may in itself be a temproal effect?

Not significant relationship, but approaches significance (p =.055)

  mean_valence_macro
Predictors Estimates CI p
(Intercept) -0.43 -0.82 – -0.04 0.030
wave [t2] 0.02 -0.08 – 0.12 0.650
media engagement rel -0.13 -0.30 – 0.05 0.152
intendedVote [1] 0.35 0.16 – 0.54 <0.001
climate concern rel 0.31 0.19 – 0.42 <0.001
age 0.00 -0.00 – 0.01 0.213
gender [weiblich] 0.04 -0.16 – 0.24 0.694
education [Hochschulreife
/ Matur]
0.06 -0.18 – 0.29 0.637
education [Obligatorische
Schule]
0.28 0.04 – 0.52 0.024
wave [t2] × media
engagement rel
0.06 -0.04 – 0.16 0.263
media engagement rel ×
intendedVote [1]
0.18 -0.00 – 0.35 0.055
Random Effects
σ2 0.32
τ00 participantID 0.44
ICC 0.57
N participantID 254
Observations 508
Marginal R2 / Conditional R2 0.202 / 0.660

Hypothesis 7

Number of ambivalent concepts is 0 for both waves…

##    
##      t1  t2 wave2_control
##   0 113 146            41
##   1  77  61            20
##   2  45  29             5
##   3   9  12             2
##   4   6   2             0
##   5   3   4             2
##   6   0   1             0
##   7   0   1             1
##   8   3   0             1
## 
##  Paired t-test
## 
## data:  survey_t1_CAM$num_nodes_ambi_macro_t1 and survey_t2_CAM$num_nodes_ambi_macro_t2
## t = 2.5124, df = 253, p-value = 0.01261
## alternative hypothesis: true mean difference is not equal to 0
## 95 percent confidence interval:
##  0.05020592 0.41436101
## sample estimates:
## mean difference 
##       0.2322835
## 
##  Wilcoxon signed rank test with continuity correction
## 
## data:  survey_t1_CAM$num_nodes_ambi_macro_t1 and survey_t2_CAM$num_nodes_ambi_macro_t2
## V = 5597.5, p-value = 0.008163
## alternative hypothesis: true location shift is not equal to 0

exploratory analysis

Mixed

References